• iLoc-Animal

  • Referenced in 20 articles [sw22427]
  • depth studies. By introducing the ”multi-label learning” approach, a new predictor, called iLoc-Animal ... multi-label approach and the rigorous measurement metrics can also be used to investigate many...
  • NeuroSim+

  • Referenced in 1 article [sw38117]
  • system-level learning accuracy and hardware performance metrics. It has a hierarchical organization from ... analog eNVM based array architectures for online learning and offline classification. The source code...
  • GEMLeR

  • Referenced in 2 articles [sw12033]
  • machine learning algorithms. They can be used for estimation of different quality metrics (e.g. accuracy ... inspired by an increasing need in machine learning / bioinformatics communities for a collection of microarray...
  • Comet.ml

  • Referenced in 1 article [sw27031]
  • hyper parameters, metrics, code, stdout tracking. Supports Keras, Tensorflow, PyTorch, scikit-learn...
  • Megaman

  • Referenced in 5 articles [sw17838]
  • package incorporates theoretical advances in manifold learning, such as the unbiased Laplacian estimator introduced ... embedding distortion by the Riemannian metric method introduced by Perrault-Joncas and Meila...
  • CLiMF

  • Referenced in 3 articles [sw33326]
  • CLiMF). In CLiMF the model parameters are learned by directly maximizing the Mean Reciprocal Rank ... which is a well-known information retrieval metric for measuring the performance...
  • fairness

  • Referenced in 1 article [sw35210]
  • Metrics. Offers various metrics of algorithmic fairness. Fairness in machine learning is an emerging topic ... commonly and less commonly used fairness metrics in population subgroups. These methods are described...
  • MOSNet

  • Referenced in 1 article [sw42713]
  • MOSNet: Deep Learning based Objective Assessment for Voice Conversion. Existing objective evaluation metrics for voice ... speech. In this paper, we propose deep learning-based assessment models to predict human ratings...
  • AquaLog

  • Referenced in 5 articles [sw23489]
  • GATE NLP platform, string metric algorithms, WordNet and a novel ontology-based relation similarity service ... target KB. Moreover it also includes a learning component, which ensures that the performance...
  • PAMR

  • Referenced in 13 articles [sw15437]
  • online passive aggressive learning technique from machine learning, the proposed portfolio selection strategy can effectively ... portfolio selection strategies under various performance metrics. In addition to its superior performance, the proposed...
  • AffectNet

  • Referenced in 2 articles [sw30104]
  • metrics show that our deep neural network baselines can perform better than conventional machine learning...
  • SuperGLUE

  • Referenced in 4 articles [sw30754]
  • models and methods for pretraining and transfer learning have driven striking performance improvements across ... year ago, offers a single-number metric that summarizes progress on a diverse...
  • OpenSALICON

  • Referenced in 2 articles [sw25869]
  • objective function based on the saliency evaluation metrics, and integrating information at different image scales ... Results demonstrate that our DNNs can automatically learn features for saliency prediction that surpass ... ranks top to date under all seven metrics on the MIT300 challenge...
  • OpenLORIS

  • Referenced in 1 article [sw37994]
  • lifelong learning algorithms. Each of them involves 48 tasks with 4 evaluation metrics over...
  • Quicksilver

  • Referenced in 7 articles [sw38623]
  • Quicksilver: Fast predictive image registration – A deep learning approach. This paper introduces Quicksilver, a fast ... predictions for the Large Deformation Diffeomorphic Metric Mapping (LDDMM) model. Specifically, we predict the momentum ... four standard validation datasets, and can jointly learn an image similarity measure. Quicksilver is freely...
  • ILA-2

  • Referenced in 1 article [sw03301]
  • improved version of a novel Inductive Learning Algorithm (ILA). We first outline the basic algorithm ... algorithm is improved using a new evaluation metric that handles uncertainty in the data ... using a new soft computing metric, users can reflect their preferences through a penalty factor ... control the performance of the algorithm. Inductive learning algorithm has also a faster pass criteria...
  • SphereFace

  • Referenced in 4 articles [sw39108]
  • inter-class distance under a suitably chosen metric space. However, few existing algorithms can effectively ... that enables convolutional neural networks (CNNs) to learn angularly discriminative features. Geometrically, A-Softmax loss...
  • ASSAM

  • Referenced in 6 articles [sw13842]
  • semantic metadata are supported by two machine learning algorithms. First, we have developed an iterative ... based on an ensemble of string distance metrics...
  • DREAMTools

  • Referenced in 1 article [sw25644]
  • methods are evaluated using an automated scoring metric, scores are posted to a public leaderboard ... evaluate a wide range of statistical, machine learning, and biophysical methods. Here, we describe DREAMTools ... Python package for evaluating DREAM challenge scoring metrics. DREAMTools provides a command line interface that...
  • DIG

  • Referenced in 1 article [sw37858]
  • explainability of graph neural networks, and deep learning on 3D graphs. For each direction ... data interfaces, common algorithms, and evaluation metrics. Altogether, DIG is an extensible, open-source...